Joseph Milazzo is a Senior Software Engineer with 10+ years building accessible, enterprise-grade web applications and reusable front-end libraries, currently driving migrations to Angular and Spring Boot at AT&T. He specializes in accessibility (Section 508, WAI-ARIA) and has architected automated accessibility testing tools and component libraries used across hundreds of developers. Comfortable across the MEAN stack and back-end services, Joseph contributes to open-source projects like Kavita and Lidarr, where he implemented core data models and API features. Known for improving performance and developer productivity—he’s cut build times dramatically and led multi-team legacy modernizations—he combines a penchant for refactoring and debugging with a continual learning habit that surfaces in frequent side projects and tooling.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Arizona State University
Kavita is a fast, feature rich, cross platform reading server. Built with the goal of being a full solution for all your reading needs. Setup your own server and share your reading collection with your friends and family.
Role in this project:
Back-end Developer
Contributions:62 releases, 347 reviews, 1652 commits in 2 years 1 month
Contributions summary:Joseph primarily focused on implementing core features for the Kavita reading server. They contributed to version bumping for .NET packages and series name parsing improvements. Further contributions included the introduction of a "Mark Chapters Until As Read" endpoint and updates to the email service along with minor code cleanup, highlighting a focus on feature enhancements and API functionality within the project's back-end.
Contributions:64 commits, 45 PRs, 55 pushes in 1 year
Contributions summary:Joseph primarily contributed to the backend development of Lidarr, a music-focused application. Their work included adding music models and database schemas, migrating the database to support compilation features, and modifying existing models for track and artist representation. They also made modifications to file organization logic to align with these new database structures. These contributions involved creating the core data structures and database interactions necessary for managing music data within the application.
sonarrnzbsmellstorrentmusic
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